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README.md
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license: apache-2.0
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language:
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- en
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---
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# Uploaded model
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- **Developed by:** alibidaran
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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license: apache-2.0
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language:
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- en
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datasets:
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- nvidia/OpenCodeReasoning
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---
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### Direct Uses:
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```python
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system_prompt="""
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You are expert Python programmer. You task contians follwing instructions.
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You should answer the user's questions about Python. Your thinking must be in the format <think>..</think>
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The output format must contain only python codes with ```python syntax format.
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You must use the the user input vairables in your code as code place holder.
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"""
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FastLanguageModel.for_inference(model)
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messages = [
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{'role':'system','content':system_prompt},
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{"role": "user", "content":"How to write a Graph-based path finder algorithm?" },
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]
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inputs = tokenizer.apply_chat_template(
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messages,
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tokenize = True,
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add_generation_prompt = True, # Must add for generation
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return_tensors = "pt",
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).to("cuda")
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from transformers import TextStreamer
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text_streamer = TextStreamer(tokenizer, skip_prompt = True)
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_ = model.generate(input_ids = inputs, streamer = text_streamer, max_new_tokens =2048,
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use_cache = True, temperature = 0.5, min_p = 0.9)
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```
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# Uploaded model
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- **Developed by:** alibidaran
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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